Triple

T31027396
Position Surface form Disambiguated ID Type / Status
Subject Baltschieder E790617 entity
Predicate governedBy P46 FINISHED
Object municipal council of Baltschieder
The municipal council of Baltschieder is the local governing body responsible for administering and making policy decisions for the Swiss municipality of Baltschieder.
E1943242 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: municipal council of Baltschieder | Statement: [Baltschieder, governedBy, municipal council of Baltschieder]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: municipal council of Baltschieder
Triple: [Baltschieder, governedBy, municipal council of Baltschieder]
Generated description
The municipal council of Baltschieder is the local governing body responsible for administering and making policy decisions for the Swiss municipality of Baltschieder.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f224c97a788190b5da1ead6038a74e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f694bf49d881908f3177f9bcfe4bf0 completed May 3, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2918488af48190983adc3fd65d162d completed June 10, 2026, 7:54 a.m.
NEDg Description generation batch_6a2918c754a081908efa5cad3cbcd61a completed June 10, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_6a291aea3874819094723f7dd4b01c99 completed June 10, 2026, 8:06 a.m.
Created at: April 29, 2026, 8:58 p.m.